A. Burton

1.9k total citations
20 papers, 1.5k citations indexed

About

A. Burton is a scholar working on Global and Planetary Change, Water Science and Technology and Management, Monitoring, Policy and Law. According to data from OpenAlex, A. Burton has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 4 papers in Management, Monitoring, Policy and Law. Recurrent topics in A. Burton's work include Climate variability and models (11 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrology and Drought Analysis (10 papers). A. Burton is often cited by papers focused on Climate variability and models (11 papers), Hydrology and Watershed Management Studies (10 papers) and Hydrology and Drought Analysis (10 papers). A. Burton collaborates with scholars based in United Kingdom, Australia and United States. A. Burton's co-authors include Chris Kilsby, Hayley J. Fowler, James C. Bathurst, P. E. O’Connell, P. D. Jones, Colin Harpham, Philip James, Alistair Ford, Robert L. Wilby and A. Smith and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and International Journal of Climatology.

In The Last Decade

A. Burton

20 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Burton United Kingdom 14 1.0k 560 481 287 203 20 1.5k
Mario Martina Italy 19 923 0.9× 478 0.9× 367 0.8× 292 1.0× 210 1.0× 61 1.3k
Jun‐Haeng Heo South Korea 23 857 0.8× 554 1.0× 366 0.8× 98 0.3× 298 1.5× 119 1.5k
Giuseppe Formetta Italy 19 601 0.6× 432 0.8× 314 0.7× 229 0.8× 168 0.8× 53 1.0k
Enrica Caporali Italy 19 997 1.0× 501 0.9× 472 1.0× 60 0.2× 262 1.3× 70 1.4k
Koen Verbist Belgium 23 964 0.9× 678 1.2× 682 1.4× 94 0.3× 442 2.2× 45 1.9k
Evangelos Baltas Greece 22 1.2k 1.2× 1.1k 2.0× 375 0.8× 93 0.3× 457 2.3× 115 2.0k
Tianling Qin China 24 972 1.0× 745 1.3× 357 0.7× 90 0.3× 318 1.6× 131 1.7k
Ebrahim Omidvar Iran 16 844 0.8× 387 0.7× 234 0.5× 480 1.7× 381 1.9× 31 1.3k
Zhiyong Wu China 26 1.4k 1.4× 805 1.4× 675 1.4× 80 0.3× 484 2.4× 102 2.1k
Ping Feng China 24 1.1k 1.1× 790 1.4× 279 0.6× 66 0.2× 380 1.9× 134 1.7k

Countries citing papers authored by A. Burton

Since Specialization
Citations

This map shows the geographic impact of A. Burton's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A. Burton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Burton more than expected).

Fields of papers citing papers by A. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Burton. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A. Burton. The network helps show where A. Burton may publish in the future.

Co-authorship network of co-authors of A. Burton

This figure shows the co-authorship network connecting the top 25 collaborators of A. Burton. A scholar is included among the top collaborators of A. Burton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Burton. A. Burton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Upton, Rose, Natalie E. Calatayud, Simon Clulow, et al.. (2024). Refrigerated storage and cryopreservation of hormonally induced sperm in the threatened frog, Litoria aurea. Animal Reproduction Science. 262. 107416–107416. 2 indexed citations
2.
Jones, P. D., Colin Harpham, A. Burton, & C. M. Goodess. (2016). Downscaling regional climate model outputs for the Caribbean using a weather generator. International Journal of Climatology. 36(12). 4141–4163. 16 indexed citations
3.
Forsythe, Nathan, Hayley J. Fowler, Stephen Blenkinsop, et al.. (2014). Application of a stochastic weather generator to assess climate change impacts in a semi-arid climate: The Upper Indus Basin. Journal of Hydrology. 517. 1019–1034. 58 indexed citations
4.
Burton, A., Vassilis Glenis, Mari R. Jones, & Chris Kilsby. (2013). Models of daily rainfall cross-correlation for the United Kingdom. Environmental Modelling & Software. 49. 22–33. 21 indexed citations
5.
Blenkinsop, Stephen, Colin Harpham, A. Burton, et al.. (2013). Downscaling transient climate change with a stochastic weather generator for the Geer catchment, Belgium. Climate Research. 57(2). 95–109. 13 indexed citations
6.
Hall, Jim W., et al.. (2012). Enhanced efficiency of pluvial flood risk estimation in urban areas using spatial–temporal rainfall simulations. Journal of Flood Risk Management. 5(2). 143–152. 56 indexed citations
7.
Burton, A., Hayley J. Fowler, Chris Kilsby, & P. E. O’Connell. (2010). A stochastic model for the spatial‐temporal simulation of nonhomogeneous rainfall occurrence and amounts. Water Resources Research. 46(11). 46 indexed citations
8.
9.
Jones, P. D., et al.. (2010). UK Climate Projections science report: Projections of future daily climate for the UK from the Weather Generator. Zenodo (CERN European Organization for Nuclear Research). 151 indexed citations
10.
Burton, A., Hayley J. Fowler, Stephen Blenkinsop, & Chris Kilsby. (2009). Downscaling transient climate change using a Neyman–Scott Rectangular Pulses stochastic rainfall model. Journal of Hydrology. 381(1-2). 18–32. 96 indexed citations
11.
Burton, A., Chris Kilsby, Hayley J. Fowler, Paul S.P. Cowpertwait, & P. E. O’Connell. (2008). RainSim: A spatial–temporal stochastic rainfall modelling system. Environmental Modelling & Software. 23(12). 1356–1369. 191 indexed citations
12.
Kilsby, Chris, P. D. Jones, A. Burton, et al.. (2007). A daily weather generator for use in climate change studies. Environmental Modelling & Software. 22(12). 1705–1719. 384 indexed citations
13.
Bathurst, James C., et al.. (2005). Scenario modelling of basin-scale, shallow landslide sediment yield, Valsassina, Italian Southern Alps. Natural hazards and earth system sciences. 5(2). 189–202. 42 indexed citations
14.
Fowler, Hayley J., Chris Kilsby, P. E. O’Connell, & A. Burton. (2004). A weather-type conditioned multi-site stochastic rainfall model for the generation of scenarios of climatic variability and change. Journal of Hydrology. 308(1-4). 50–66. 111 indexed citations
15.
Ewen, John, et al.. (2002). SHETRAN: physically-based distributed river basin modelling system.. 43–68. 8 indexed citations
16.
Kilsby, Chris, et al.. (2000). Extreme rainfall and flood frequency distribution modelling for present and future climates. 4 indexed citations
17.
Kilsby, Chris, et al.. (1999). The UP modelling system for large scale hydrology: simulation of the Arkansas-Red River basin. Hydrology and earth system sciences. 3(1). 137–149. 12 indexed citations
18.
Burton, A. & James C. Bathurst. (1998). Physically based modelling of shallow landslide sediment yield at a catchment scale. Environmental Geology. 35(2-3). 89–99. 160 indexed citations
19.
Burton, A., et al.. (1998). Field variability of landslide model parameters. Environmental Geology. 35(2-3). 100–114. 35 indexed citations
20.
Bathurst, James C., A. Burton, & Timothy J. Ward. (1997). Debris Flow Run-Out and Landslide Sediment Delivery Model Tests. Journal of Hydraulic Engineering. 123(5). 410–419. 63 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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